Sentence examples for distribution of agents from inspiring English sources

A principal wishes to transact business with a multidimensional distribution of agents whose preferences are known only in the aggregate.

There is a distribution of agents indexed by a skill factor that determines one's average productivity at performing research.

This index captures the influence of both the domain distribution of agents and the binding strengths of their various domains in the limit of infinite populations.

We also introduce centroidal Voronoi tessellation (CVT) to calculate optimal distribution of agents, and present an improved Lloyd descent method to perform path planning by utilizing its fixed point iteration feature.

We show that a non-Bayesian learning procedure leads to very permissive implementation results concerning the efficient allocation of resources in a dynamic environment where impatient, privately informed agents arrive over time, and where the designer gradually learns about the distribution of agents' values.

We characterize the incentive compatible, constrained efficient policy ("second-best") in a dynamic matching environment, where impatient, privately informed agents arrive over time, and where the designer gradually learns about the distribution of agentsʼ values.

Parameters of the model include the size of the lattice, the total population of agents, the distribution of agent types, movement and contact radii, the transmission rates of fear and bug, the duration of sickness, the distance fled, and the duration sequestered.

We introduced a modification factor for radio range R in Manhattan measure to increase the accuracy in a wide range of R. The results for two random distributions of agents based on Monte Carlo simulation are compared to the present real connectivity method to show the superiority of our approach.

The model is able to replicate differential features of the earnings distributions of agents in different labor market states.

The behaviors of mobile agents are statistically analyzed through several key parameters, including the migration time from node to node, the life expectancy of mobile agents, and the population distribution of mobile agents, to evaluate the performance of our model.

Through an extensive distribution network of agents and financial planners, the company offers insurance and asset-management products to more than 5 million customers.